Results 131 to 140 of about 3,951 (305)

Optimization with Neural Networks

, 1999
The recurrent neural network approach to combinatorial optimization has during the last decade evolved into a competitive and versatile heuristic method, that can be used on a wide range of problem types.
Söderberg, Bo,
core  

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges

IEEE Access
State-space graphs and automata serve as fundamental tools for modeling and analyzing the behavior of computational systems. Recurrent neural networks (RNNs) and language models are deeply intertwined, as RNNS provide the foundational architecture that ...
Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In   +4 more
doaj   +1 more source

A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment

, 2013
MLIRUM'03, Second Workshop on Machine Learning, Information Retrieval and User Modelling, at 9th International Conference on User Modelling, June 22nd-26th, Pittsburgh, PA, USAThis paper proposes the use of neural networks as a tool for studying ...
O'Hare, G. M. P. (Greg M. P.), Sas, Corina, Reilly, Ronan, O\u27Hare, G. M. P. (Greg M. P.)   +3 more
core  

Persistent Bilateral [18F]THK5351 and Migrating Unilateral [18F]FDG Uptake in Anti‐LGI1 Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Anti–leucine‐rich glioma‐inactivated 1 encephalitis (LGI1‐E) can cause persistent cognitive deficits, but the mechanisms remain unclear. A 40‐year‐old woman with LGI1‐E presented with subacute cognitive deficits and showed mild left medial temporal lobe (MTL) swelling and fluid‐attenuated inversion recovery (FLAIR) hyperintensity on initial ...
Yusuke Akitomi, Kenichiro Taira, Masanori Kurihara, Kenji Ishibashi, Kenji Ishii, Fumio Suzuki, Aya Midori Tokumaru, Makoto Hara, Atsushi Iwata   +8 more
wiley   +1 more source

Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules

, 2022
Neural ordinary differential equations (ODEs) have attracted much attention as continuous-time counterparts of deep residual neural networks (NNs), and numerous extensions for recurrent NNs have been proposed. Since the 1980s, ODEs have also been used to
Faccio, Francesco, Irie, Kazuki, Schmidhuber, Jürgen   +2 more
core   +1 more source

Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons

, 2007
Chicca E, Indiveri G, Douglas RJ. Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. Presented at the Advances in Neural Information Processing Systems 19 (NIPS).Cooperative competitive networks are ...
Schölkopf, B., Hofmann, T., Douglas, R. J., Indiveri, G., Chicca, Elisabetta ; https://orcid.org/, Platt, J.C.   +5 more
core  

Problematic Internet Use in Frontotemporal Dementia: A Case Series

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso, Giuseppe Volpe, Agnese Valguarnera, Davide Vilella, Alessandra Vitulli, Valentina Gnoni, Alessia Giugno, Eleonora Rollo, Mark D. Griffiths, Giancarlo Logroscino   +9 more
wiley   +1 more source

Early Recognition of Treatment‐Responsive Rapidly Progressive Dementia: The Modified STAM3mP Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Early identification of patients with treatment‐responsive rapidly progressive dementia (RPD) is important as early treatment improves outcomes. The STAM3P score identifies treatment‐responsive RPD using “high risk” presenting features. We optimized performance by adding a time component (i.e., dementia within 3 months) and validated the ...
R. W. van Steenhoven, N. Satyadev, A. E. M. Bastiaansen, Y. D. Piura, J. Kerstens, Y. S. Crijnen, J. Brenner, T. Brand, T. M. Bienfait, S. Veenbergen, J. M. de Vries, F. J. de Jong, E. G. P. Dopper, P. A. E. Sillevis Smitt, H. Seelaar, G. S. Day, M. J. Titulaer   +16 more
wiley   +1 more source